@misc{Lis2024,
Author = {Lisa Dawel, Alexandra Pehlken, Lorenzo Francesco
Gandini, Paolo Rosa},
Title = {Assessing machine learning methods for environmental performances},

Year = {2024},
Month = {06},
Url = {https://circuitsproject.eu/resources/},
type = {misc},
Abstract = {The objective of this report is to demonstrate the current status and the planned future work of three
different use cases that use machine learning for environmental performance that were developed during
the duration of the CIRC-UITS project.
The first and third use case of the application of AI both support the process or repairing / regaining materials
by supporting repairability in different ways. The second use case applies AI in order to complete missing
entries in the LCA data that hinder a complete assessment with the use of matrix completion algorithms. It
thus supports in the area of the provision of data. For each use case, the motivation, methodology and future
work are shown in order to showcase the possible environmental impact.}
}
@COMMENT{Bibtex file generated on }